HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Phi-4-multimodal-instruct

microsoft/Phi-4-multimodal-instruct

kind
original
quant
bf16 (16-bit)
family
phi
modality
automatic-speech-recognition
root model
microsoft/Phi-4-multimodal-instruct
provider
microsoft
license
mit
language
multilingual, ar, zh, cs, da, nl, en, fi, fr, de, he, hu
context
128K
library
transformers
vRAM (GB)
—
size on disk
—
downloads
546,890
likes
1,609
created
—
last modified
2025-12-10T20:18:10+00:00 (2025)
huggingface
https://huggingface.co/microsoft/Phi-4-multimodal-instruct
tags
transformerssafetensorsphi4mmtext-generationnlpcodeaudioautomatic-speech-recognitionspeech-summarizationspeech-translationvisual-question-answeringphi-4-multimodalphiphi-4-minicustom_codemultilingualarzhcsdanlenfifr

Benchmark scores (12)

benchmarkcategoryscorecontextconfevidence
WERspeech-asr99.63fleurs-ko2en-cot | fleurs-en2ko-cotlow| original | 99.16 | 99.63 | 5.63 | 2.42 | 6.86 | 4.17 |
CERspeech-asr99.16fleurs-ko2en-cot | fleurs-en2ko-cotlow| original | 99.16 | 99.63 | 5.63 | 2.42 | 6.86 | 4.17 |
DocVQAmultimodal93.2DocVQAmedium| DocVQA | **93.2** | 69.3 | 93.9 | 91.6 | **95.7** | 93.0 | 91.2 | 92.1 | 95.2 | 90.9 |
DocVQAmultimodal87.3s_DocVQAmedium| s_DocVQA | **87.3** | 79.9 | 76.0 | 80.3 | 78.2 |
MMBenchmultimodal86.7MMBench (dev-en)medium| MMBench (dev-en) | **86.7** | 81.9 | 84.3 | 86.8 | 87.8 | 88.2 | 85.0 | **90.0** | 86.7 | 89.0 |
ChartQAmultimodal81.4ChartQAmedium| ChartQA | **81.4** | 81.8 | 80.0 | 79.1 | **85.0** | 81.0 | 73.0 | 79.0 | 78.4 | 75.1 |
ChartQAmultimodal69.0s_ChartQAmedium| s_ChartQA | **69.0** | 56.1 | 35.5 | 51.3 | 46.9 |
MathVistamultimodal62.4MathVista (testmini)medium| MathVista (testmini) | **62.4** | 43.9 | 60.8 | 51.2 | **67.8** | 56.7 | 57.6 | 47.2 | 56.9 | 56.1 |
MMMUmultimodal55.1MMMUmedium| MMMU | **55.1** | 43.0 | 47.0 | 48.3 | 51.8 | 50.6 | 54.1 | **64.7** | 55.8 | 61.7 |
MMMUmultimodal38.5MMMU-Pro (std/vision)medium| MMMU-Pro (std/vision) | **38.5** | 21.8 | 29.9 | 32.4 | 36.9 | 34.4 | 45.1 | **54.4** | 54.3 | 53.0 |
WERspeech-asr6.14mediumword error rate 6.14%
WER FLEURSspeech-asr5.63fleurs-ko2en-cot | fleurs-en2ko-cotlow| original | 99.16 | 99.63 | 5.63 | 2.42 | 6.86 | 4.17 |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.